Genome-Scale Metabolic Model of Helicobacter pylori 26695

By C. Schilling, Markus W. Covert, Iman Famili, George M. Church, Jeremy S. Edwards, Bernhard O. Palsson. Journal of Bacteriology, 2002

351 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/beb6320c04f78e85c4df124b69362814b46a3c0a

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Citations in the corpus

Environments that Induce Synthetic Microbial Ecosystems (2010, methodology): “The genome scale metabolic models for 5 of the organisms used have been published and are publicly available (Escherichia coli [59], Bacillus subtilis [60], Helicobacter pylori [61], Salmonella typhimurium [62], Methanosarcina barkeri [63]).”
Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization (2003, background): “The recent explosion of annotated sequence information along with a wealth of chemical literature has enabled the reconstruction of genome-scale metabolic networks for many microorganisms (Edwards and Palsson, 2000; Schilling and Palsson, 2000; Schilling et al., 2002; Forster et al., 2003).”
OptStrain: a computational framework for redesign of microbial production systems. (2004, background): “Already many thousands of such reactions have been deposited; however, unlike organism-specific metabolic reconstructions (Edwards and Palsson 2000; Schilling et al. 2002; Forster et al. 2003; Reed et al. 2003), these compilations include reactions from not a single but many different species in a l”
Thermodynamics-based metabolic flux analysis. (2007, neutral): “; rg; (12) DrG9i K1Kzi , 0; fi 1⁄4 1; .”
Flux coupling analysis of genome-scale metabolic network reconstructions. (2004, methodology): “Here we examine the percentage of blocked reactions in the genome-scale models of H. pylori (389 reactions; Schilling et al. 2002), E. coli (740 reactions; Edwards and Palsson 2000), and S. cerevisiae (1173 reactions; Forster et al. 2003) For each one of Next, we further constrain the second…”
Applications of genome-scale metabolic reconstructions (2009, result): “Comparative network-level analysis is not completely new, as some of the first metabolic reconstructions generated were compared with discern phenotypic differences between species (Schilling et al, 2002; Forster et al, 2003).”
Thirteen Years of Building Constraint-Based In Silico Models of Escherichia coli (2003, background): “…that have been gained from modeling E. coli can be directly applied to modeling other organisms; this process has begun for Haemophilus inﬂuenzae (17), Helicobacter pylori (48), Saccharomyces cerevisiae (8, 23), and Methylobacte-rium extorquens (58), and more models are expected to emerge soon.”